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      Crystal structure of the catalytic core of Rad2: insights into the mechanism of substrate binding

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          Abstract

          Rad2/XPG belongs to the flap nuclease family and is responsible for a key step of the eukaryotic nucleotide excision DNA repair (NER) pathway. To elucidate the mechanism of DNA binding by Rad2/XPG, we solved crystal structures of the catalytic core of Rad2 in complex with a substrate. Rad2 utilizes three structural modules for recognition of the double-stranded portion of DNA substrate, particularly a Rad2-specific α-helix for binding the cleaved strand. The protein does not specifically recognize the single-stranded portion of the nucleic acid. Our data suggest that in contrast to related enzymes (FEN1 and EXO1), the Rad2 active site may be more accessible, which would create an exit route for substrates without a free 5′ end.

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          Most cited references49

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          Harnessing homologous recombination in vitro to generate recombinant DNA via SLIC.

          We describe a new cloning method, sequence and ligation-independent cloning (SLIC), which allows the assembly of multiple DNA fragments in a single reaction using in vitro homologous recombination and single-strand annealing. SLIC mimics in vivo homologous recombination by relying on exonuclease-generated ssDNA overhangs in insert and vector fragments, and the assembly of these fragments by recombination in vitro. SLIC inserts can also be prepared by incomplete PCR (iPCR) or mixed PCR. SLIC allows efficient and reproducible assembly of recombinant DNA with as many as 5 and 10 fragments simultaneously. SLIC circumvents the sequence requirements of traditional methods and functions much more efficiently at very low DNA concentrations when combined with RecA to catalyze homologous recombination. This flexibility allows much greater versatility in the generation of recombinant DNA for the purposes of synthetic biology.
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            Making and breaking nucleic acids: two-Mg2+-ion catalysis and substrate specificity.

            DNA and a large proportion of RNA are antiparallel duplexes composed of an unvarying phosphosugar backbone surrounding uniformly stacked and highly similar base pairs. How do the myriad of enzymes (including ribozymes) that perform catalysis on nucleic acids achieve exquisite structure or sequence specificity? In all DNA and RNA polymerases and many nucleases and transposases, two Mg2+ ions are jointly coordinated by the nucleic acid substrate and catalytic residues of the enzyme. Based on the exquisite sensitivity of Mg2+ ions to the ligand geometry and electrostatic environment, we propose that two-metal-ion catalysis greatly enhances substrate recognition and catalytic specificity.
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              GeneSilico protein structure prediction meta-server.

              Rigorous assessments of protein structure prediction have demonstrated that fold recognition methods can identify remote similarities between proteins when standard sequence search methods fail. It has been shown that the accuracy of predictions is improved when refined multiple sequence alignments are used instead of single sequences and if different methods are combined to generate a consensus model. There are several meta-servers available that integrate protein structure predictions performed by various methods, but they do not allow for submission of user-defined multiple sequence alignments and they seldom offer confidentiality of the results. We developed a novel WWW gateway for protein structure prediction, which combines the useful features of other meta-servers available, but with much greater flexibility of the input. The user may submit an amino acid sequence or a multiple sequence alignment to a set of methods for primary, secondary and tertiary structure prediction. Fold-recognition results (target-template alignments) are converted into full-atom 3D models and the quality of these models is uniformly assessed. A consensus between different FR methods is also inferred. The results are conveniently presented on-line on a single web page over a secure, password-protected connection. The GeneSilico protein structure prediction meta-server is freely available for academic users at http://genesilico.pl/meta.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                15 September 2014
                12 August 2014
                12 August 2014
                : 42
                : 16
                : 10762-10775
                Affiliations
                Laboratory of Protein Structure, International Institute of Molecular and Cell Biology, Warsaw 02-109, Poland
                Author notes
                [* ]To whom correspondence should be addressed. Tel: +48 22 597 07 17; Fax: +48 22 597 07 15; Email: mnowotny@ 123456iimcb.gov.pl
                Article
                10.1093/nar/gku729
                4176360
                25120270
                5a739809-9746-4cc0-9e0e-e88857ab6326
                © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 29 July 2014
                : 29 July 2014
                : 02 April 2014
                Page count
                Pages: 14
                Categories
                Structural Biology
                Custom metadata
                15 September 2014

                Genetics
                Genetics

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